A Multiple-Valued Immune Network and Its Applications

نویسندگان

  • Zheng TANG
  • Takayuki YAMAGUCHI
  • Koichi TASHIMA
  • Okihiko ISHIZUKA
  • Koichi TANNO
چکیده

This paper describes a new model of multiplevalued immune network based on biological immune response network. The model of multiple-valued immune network is formulated based on the analogy with the interaction between B cells and T cells in immune system. The model has a property that resembles immune response quite well. The immunity of the network is simulated and makes several experimentally testable predictions. Simulation results are given to a letter recognition application of the network and compared with binary ones. The simulations show that, beside the advantages of less categories, improved memory pattern and good memory capacity, the multiple-valued immune network produces a stronger noise immunity than binary one. key words: multiple-valued, immune network, immune response, pattern recognition

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تاریخ انتشار 1999